Automated methods enable the analysis of PET/CT scans (left) to accurately predict tumor location and size (right). Credit: Nature Machine Intelligence (2024). DOI: 10.1038/s42256-024-00912-9 ...

Furthermore, deep learning algorithms trained with optical coherence tomography (OCT) data can detect microstructural damage due to glaucoma and its progression over time.

"Training algorithm breaks barriers to deep physical neural networks." ScienceDaily. ScienceDaily, 7 December 2023. <www.sciencedaily.com / releases / 2023 / 12 / 231207161444.htm>.

Deep learning and GenAI also have different outputs, strengths, and challenges. The table below shows a quick overview of the main differences between the two.

Get ready to delve into the core concepts and implementation of Machine Learning. What does that mean exactly? Well, based on practical examples from well-known systems like Netflix, YouTube or ...

• Deep learning (DL) algorithms use sophisticated neural networks, which mimic the human brain, to extract meaningful information from unstructured data, including text, audio and images.